Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/acannistra/planet-snowcover
Can we use Planet high-resolution imagery and machine learning to assess snow cover?
https://github.com/acannistra/planet-snowcover
cloud-native computer-vision planet-labs
Last synced: 3 months ago
JSON representation
Can we use Planet high-resolution imagery and machine learning to assess snow cover?
- Host: GitHub
- URL: https://github.com/acannistra/planet-snowcover
- Owner: acannistra
- License: mit
- Created: 2018-01-25T00:11:48.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2021-12-03T20:33:39.000Z (almost 3 years ago)
- Last Synced: 2024-05-19T14:20:45.664Z (6 months ago)
- Topics: cloud-native, computer-vision, planet-labs
- Language: Jupyter Notebook
- Homepage: https://planet-snowcover.readthedocs.io/en/latest/
- Size: 268 MB
- Stars: 20
- Watchers: 6
- Forks: 6
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- Awesome-Earth-Artificial-Intelligence - Planet Snow Mapping - Introduction to using Planet imagery to map snow cover (Tutorials)
- open-sustainable-technology - Planet Snowcover - A project that pairs airborne lidar and Planet Labs satellite imagery with cutting-edge computer vision techniques to identify snow-covered area at unprecedented spatial and temporal resolutions. (Cryosphere / Snow and Permafrost)